In this article, the exponential stability of impulsive control systems with time delay is studied.
By using the average impulsive interval method, some sufficient Lyapunov-based conditions …

This technical note proposes a noise-tolerant zeroing neural network (NTZNN) design
formula, and shows how recurrent (and recursive) methods for solving time-varying …

In this paper, a novel method is developed for the stability problem of a class of neural
networks with time-varying delay. New delay-dependent stability criteria in terms of linear …

An unappealing characteristic of all real-world systems is the fact that they are vulnerable to
faults, malfunctions and, more generally, unexpected modes of-haviour. This explains why …

This brief deals with the problem of global asymptotic stability for a class of delayed neural
networks. Some new Lyapunov-Krasovskii functionals are constructed by nonuniformly …

The robust state estimation problem for a class of uncertain neural networks with time-
varying delay is studied in this paper. The parameter uncertainties are assumed to be norm …

This paper is concerned with the problem of designing a non-fragile state estimator for a
class of uncertain discrete-time neural networks with time-delays. The norm-bounded …

This paper studies the multistability of delayed recurrent neural networks (DRNNs) with a
class of piecewise nonlinear activation functions. The coexistence as well as the stability of …

This brief deals with the problem of stability analysis for a class of recurrent neural networks
(RNNs) with a time-varying delay in a range. Both delay-independent and delay-dependent …

Finite-time stability and stabilization problems of state-dependent delayed systems are
studied in this paper. Different from discrete delays and time-dependent delays which can …